BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

161 related articles for article (PubMed ID: 30698649)

  • 1. A two-stage estimation procedure for non-linear structural equation models.
    Holst KK; Budtz-Jørgensen E
    Biostatistics; 2020 Oct; 21(4):676-691. PubMed ID: 30698649
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Estimating Structural Equation Models Using James-Stein Type Shrinkage Estimators.
    Burghgraeve E; De Neve J; Rosseel Y
    Psychometrika; 2021 Mar; 86(1):96-130. PubMed ID: 33738686
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Using empirical Bayes predictors from generalized linear mixed models to test and visualize associations among longitudinal outcomes.
    Mikulich-Gilbertson SK; Wagner BD; Grunwald GK; Riggs PD; Zerbe GO
    Stat Methods Med Res; 2019 May; 28(5):1399-1411. PubMed ID: 29488446
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An Instrumental Variable Estimator for Mixed Indicators: Analytic Derivatives and Alternative Parameterizations.
    Fisher ZF; Bollen KA
    Psychometrika; 2020 Sep; 85(3):660-683. PubMed ID: 32833145
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Correction for Item Response Theory Latent Trait Measurement Error in Linear Mixed Effects Models.
    Wang C; Xu G; Zhang X
    Psychometrika; 2019 Sep; 84(3):673-700. PubMed ID: 31183670
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Partial linear inference for a 2-stage outcome-dependent sampling design with a continuous outcome.
    Qin G; Zhou H
    Biostatistics; 2011 Jul; 12(3):506-20. PubMed ID: 21156990
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Online two-way estimation and inference via linear mixed-effects models.
    Luo L; Li L
    Stat Med; 2022 Nov; 41(25):5113-5133. PubMed ID: 35983945
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Two-Step Estimation of Models Between Latent Classes and External Variables.
    Bakk Z; Kuha J
    Psychometrika; 2018 Dec; 83(4):871-892. PubMed ID: 29150817
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Model Implied Instrumental Variables (MIIVs): An Alternative Orientation to Structural Equation Modeling.
    Bollen KA
    Multivariate Behav Res; 2019; 54(1):31-46. PubMed ID: 30222004
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A readily available improvement over method of moments for intra-cluster correlation estimation in the context of cluster randomized trials and fitting a GEE-type marginal model for binary outcomes.
    Westgate PM
    Clin Trials; 2019 Feb; 16(1):41-51. PubMed ID: 30295512
    [TBL] [Abstract][Full Text] [Related]  

  • 11. ROBUSTNESS CONDITIONS FOR MIIV-2SLS WHEN THE LATENT VARIABLE OR MEASUREMENT MODEL IS STRUCTURALLY MISSPECIFIED.
    Bollen KA; Gates KM; Fisher Z
    Struct Equ Modeling; 2018; 25(6):848-859. PubMed ID: 30573943
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Structural Equation Modeling of Social Networks: Specification, Estimation, and Application.
    Liu H; Jin IH; Zhang Z
    Multivariate Behav Res; 2018; 53(5):714-730. PubMed ID: 30477339
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Analysis of counts with two latent classes, with application to risk assessment based on physician-visit records of cancer survivors.
    Wang H; Hu XJ; McBride ML; Spinelli JJ
    Biostatistics; 2014 Apr; 15(2):384-97. PubMed ID: 24297607
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Generalized latent variable models with non-linear effects.
    Rizopoulos D; Moustaki I
    Br J Math Stat Psychol; 2008 Nov; 61(Pt 2):415-38. PubMed ID: 17535487
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A natural robustification of the ordinary instrumental variables estimator.
    Freue GV; Ortiz-Molina H; Zamar RH
    Biometrics; 2013 Sep; 69(3):641-50. PubMed ID: 23865476
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A semiparametric Bayesian approach for structural equation models.
    Song XY; Pan JH; Kwok T; Vandenput L; Ohlsson C; Leung PC
    Biom J; 2010 Jun; 52(3):314-32. PubMed ID: 20533410
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Pairwise Likelihood Ratio Tests and Model Selection Criteria for Structural Equation Models with Ordinal Variables.
    Katsikatsou M; Moustaki I
    Psychometrika; 2016 Dec; 81(4):1046-1068. PubMed ID: 27734296
    [TBL] [Abstract][Full Text] [Related]  

  • 18. R-squared change in structural equation models with latent variables and missing data.
    Hayes T
    Behav Res Methods; 2021 Oct; 53(5):2127-2157. PubMed ID: 33782902
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Model-implied instrumental variable-generalized method of moments (MIIV-GMM) estimators for latent variable models.
    Bollen KA; Kolenikov S; Bauldry S
    Psychometrika; 2014 Jan; 79(1):20-50. PubMed ID: 24532165
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Partially linear structure selection in Cox models with varying coefficients.
    Lian H; Lai P; Liang H
    Biometrics; 2013 Jun; 69(2):348-57. PubMed ID: 23796105
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.